Cognitive Security · Paper · 2026

Black Line: Strong Work in Public

Daniel Ari Friedman

Zenodo

Download PDF Publication source Paper folder on GitHub Read extracted text

Overview

A positive practice instrument for concise, inspectable, revisable work. It reads self-declared tags and evidence labels against a versioned practice registry and returns one of four statuses over declaration coverage. It measures whether the evidence a practice asks for was declared — never whether the work is true, good, or permitted; an ALIGNED reading authorizes nothing. Subtitle: A Positive Operating Discipline for Concise, Rigorous Research and Engineering Code is MIT licensed; prose and figures are CC BY 4.0. See LICENSE in the repository.

research practicedeclaration coverageevidence disciplinescientific integrityreproducibilityopen scienceengineering practice

Overview source: Curated paper metadata.

Methods and contributions

Read the source for the full argument, qualifications, and evidence.

Findings and contributions

  • An ALIGNED status only means every required label for each applicable practice was declared fresh, never that a source is real or a claim true.
  • Label-stuffing works: a research-tagged attempt declaring all 22 vocabulary labels with no artifacts returns ALIGNED.
  • Coverage is asymmetric: 27 of the 55 tag-practice cells are applicable, computed directly from the registry.
  • Seeded permutation sweeps confirm that once a declaration is non-empty the status never regresses, with the empty declaration as the intentional exception.
  • The author makes a design and implementation claim only; no user study or outcome comparison was run.

Methods

  • Versioned registry of eleven practices with coarse evidence labels — Encodes practices such as question-first framing, source traceability, and clean reruns as 'wires', each with reviewed tags and required evidence labels.
  • Staged evaluate_work evaluator returning four statuses — Validates configuration and registry, then runs intake normalization, freshness partition, tag matching, and scoring to return ALIGNED, NEEDS_EVIDENCE, NEEDS_REWORK, or OUTSIDE_SCOPE.
  • Structural invariants tested against planted-bad registries — Seven invariants check the registry's own shape, each demonstrated firing on a deliberately broken registry rather than only passing on the real one.
  • Executed adversarial declarations against the real evaluator — Runs label-stuffing, tag-minimization, and refresh-date laundering attacks to show how self-declared inputs can game the status.
  • Three claim classes with distinct evidentiary burdens — Separates implementation, methodological, and world/authority claims so that tests or citations do not silently change the type of claim made.

Summary sources: Paper metadata and evidence · Extracted source text.

Document downloads

PDFs are hosted here; supporting sources may use pinned archives.

Citation

Citation metadata follows the unified bibliography.

Friedman, Daniel Ari. 2026. Black Line: Strong Work in Public. Zenodo. DOI: 10.5281/zenodo.21754235. URL: https://doi.org/10.5281/zenodo.21754235.
Download bibliography Add to reading list Explore connections

Catalog details and resources

Catalog row205
Citation keyFriedman2026BlackLineStrongWork205

Related works

Ranked by recorded methods, topics, contributors and associated software, with contributor roles and domain-only matches labelled. Metadata overlap is not a citation or a scientific equivalence.

View all Cognitive Security works, software & media →